Induction week classes
Additional resources
Student notes
Below are some notes made by previous students. They may contain errors; you are strongly encouraged to report back to us and contribute changes. There is significant overlap in some areas; pick the perspective you prefer.
Theoretical Neuroscience
Topic |
Link |
Comments |
Full TN Notes |
Jorge's TN notes |
A somewhat comprehensive set of notes covering the main parts of the course. Should be particularly useful for mean-field theory of networks. Also includes a list of useful papers to read. |
Differential correlations |
Jorge's correlations notes |
Some handwritten notes on Peter Latham's lecture on differential correlations (Moreno-Bote et al, 2014) |
Learning rules |
Learning rules (Kirsty) |
Mainly plasticity/hebbian rules, summarised from Dayan&Abbott. |
Biophysics notes |
Biophysics (Kirsty) |
Covers most of Peter Latham's biophysics, at a higher level than Jorge's more comprehensive notes |
Information theory for TN |
Information Theory (TN) (Kirsty) |
High level definitions and relationships between Information Theory terms |
Machine Learning (including kernels)
Latex template
It is highly recommended that you use latex for your assignment in this course and others. You may find it helpful to start with this sample assignment template, which demonstrates some figures, maths and other useful things.
Assignment template